Mineral

ML Architect

Blumenau, State of Santa Catarina, Brazil

Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, AI & Machine Learning, Data EngineeringIndustries

Requirements

Candidates should possess 5-7 years of experience in ML System Architecture & Design, with demonstrated proficiency in Databricks, Snowflake, and SageMaker. They should also have experience with Performance Optimization and Model Monitoring setup.

Responsibilities

The ML Architect will collaborate with Data Scientists and the AI/ML community to translate business problems into scalable ML solutions, define model serving strategies, design and implement an ML Experimentation Platform, standardize ML pipelines, and manage model governance and compliance. They will develop and maintain a feature repository, build and own the ML Portfolio based on business unit needs, and support ML infrastructure as an administrator on Databricks, Snowflake, and Sagemaker, while also owning and publishing best practices.

Skills

ML System Architecture
ML Pipelines
Model Governance
Model Monitoring
Databricks
Snowflake
SageMaker
HPO
ML Metadata Storage
Feature Repository
Performance Optimization

Mineral

Develops AI tools for sustainable agriculture

About Mineral

Mineral.ai develops technology solutions aimed at improving the agriculture industry. The company utilizes perception technology, artificial intelligence (AI), and machine learning (ML) to create tools that help farmers, researchers, and agricultural advisors increase crop yields, manage pests, and adapt to climate change. Their products include precision agriculture tools that optimize resource use and advanced data analytics platforms that provide insights from agricultural data. Unlike many competitors, Mineral.ai focuses on creating partnerships within the agriculture sector to co-develop solutions, enhancing their product offerings. The goal of Mineral.ai is to support sustainable food production and help feed the world more efficiently.

Key Metrics

Mountain View, CaliforniaHeadquarters
N/AYear Founded
VENTURE_UNKNOWNCompany Stage
Food & Agriculture, AI & Machine LearningIndustries
51-200Employees

Risks

Transition from Alphabet may lead to financial instability and resource loss.
Licensing model could reduce control over technology application and revenue stability.
Difficulty in monetizing technology indicates challenges in creating durable revenue streams.

Differentiation

Mineral.ai uses AI and ML to revolutionize agriculture with precision tools.
The company partners with industry leaders like Driscoll's for real-world technology applications.
Mineral.ai's licensing model allows broad integration into existing agribusiness systems.

Upsides

Licensing model increases market reach and technology integration in agribusiness.
Partnerships with companies like Driscoll's enhance technology application and sustainability goals.
Growing interest in agrivoltaic systems offers new partnership opportunities for Mineral.ai.

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